Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add hannesill/m4 --skill eicu-gcsgit clone --depth 1 https://github.com/hannesill/m4Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/hannesill/m4/eicu-gcs)<a href="https://agentmods.dev/skills/hannesill/m4/eicu-gcs"><img src="https://agentmods.dev/badge/skills/hannesill/m4/eicu-gcs/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/hannesill/m4/eicu-gcs"><img src="https://agentmods.dev/badge/skills/hannesill/m4/eicu-gcs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01126 |
| Opus 5 | $0.00000 | $0.00563 |
| Sonnet 5 | $0.00000 | $0.00225 |
| Haiku 4.5 | $0.00000 | $0.00113 |
Grade A, and why
eicu-gcs scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to mimic-apsiii-24h-raw — 991 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reference SQL (matched-content control)
The following block is the public reference SQL used to construct the ground truth for this task. It is provided verbatim, without procedural prose, to test whether matched task-relevant content alone explains the WITH-SKILL gain.
-- ------------------------------------------------------------------
-- Title: Glasgow Coma Scale (GCS) — first day minimum (eICU)
-- Matches eicu-code pivoted-gcs.sql logic, then aggregates to
-- minimum GCS in the first 24 hours per ICU stay.
-- ------------------------------------------------------------------
-- Reference:
-- Teasdale G, Jennett B. "Assessment of coma and impaired
-- consciousness. A practical scale." Lancet. 1974;2(7872):81-84.
-- Adapted from eicu-code pivoted-gcs.sql (BigQuery → DuckDB)
-- Step 1: Extract GCS components from nursecharting, matching
-- eicu-code filter logic exactly.
WITH nc AS (
SELECT
patientunitstayid,
nursingchartoffset AS chartoffset,
-- GCS Total from two label patterns
MIN(CASE
WHEN nursingchartcelltypevallabel = 'Glasgow coma score'
AND nursingchartcelltypevalname = 'GCS Total'
AND TRY_CAST(nursingchartvalue AS NUMERIC) IS NOT NULL
THEN CAST(nursingchartvalue AS NUMERIC)
WHEN nursingchartcelltypevallabel = 'Score (Glasgow Coma Scale)'
AND nursingchartcelltypevalname = 'Value'
AND TRY_CAST(nursingchartvalue AS NUMERIC) IS NOT NULL
THEN CAST(nursingchartvalue AS NUMERIC)
ELSE NULL
END) AS gcs,
-- Motor
MIN(CASE
WHEN nursingchartcelltypevallabel = 'Glasgow coma score'
AND nursingchartcelltypevalname = 'Motor'
AND TRY_CAST(nursingchartvalue AS NUMERIC) IS NOT NULL
THEN CAST(nursingchartvalue AS NUMERIC)
ELSE NULL
END) AS gcsmotor,
-- Verbal
MIN(CASE
WHEN nursingchartcelltypevallabel = 'Glasgow coma score'
AND nursingchartcelltypevalname = 'Verbal'
AND TRY_CAST(nursingchartvalue AS NUMERIC) IS NOT NULL
THEN CAST(nursingchartvalue AS NUMERIC)
ELSE NULL
END) AS gcsverbal,
-- Eyes
MIN(CASE
WHEN nursingchartcelltypevallabel = 'Glasgow coma score'
AND nursingchartcelltypevalname = 'Eyes'
AND TRY_CAST(nursingchartvalue AS NUMERIC) IS NOT NULL
THEN CAST(nursingchartvalue AS NUMERIC)
ELSE NULL
END) AS gcseyes
FROM eicu_crd.nursecharting
WHERE nursingchartcelltypecat IN ('Scores', 'Other Vital Signs and Infusions')
GROUP BY patientunitstayid, nursingchartoffset
)
-- Step 2: Validate GCS range (3-15), matching eicu-code
, ncproc AS (
SELECT
patientunitstayid,
chartoffset,
CASE WHEN gcs > 2 AND gcs < 16 THEN gcs ELSE NULL END AS gcs,
gcsmotor,
gcsverbal,
gcseyes
FROM nc
WHERE gcs IS NOT NULL
OR gcsmotor IS NOT NULL
OR gcsverbal IS NOT NULL
OR gcseyes IS NOT NULL
)
-- Step 3: First-day minimum — find the minimum GCS in first 24h
-- Window: -6h before to +24h after ICU admission (offset -360 to 1440)
, gcs_first_day AS (
SELECT
patientunitstayid,
chartoffset,
-- Use charted GCS total if available; else compute from components
COALESCE(gcs, COALESCE(gcseyes, 4) + COALESCE(gcsmotor, 6) + COALESCE(gcsverbal, 5)) AS gcs_total,
gcsmotor,
gcsverbal,
gcseyes,
ROW_NUMBER() OVER (
PARTITION BY patientunitstayid
ORDER BY
COALESCE(gcs, COALESCE(gcseyes, 4) + COALESCE(gcsmotor, 6) + COALESCE(gcsverbal, 5)),
chartoffset
) AS rn
FROM ncproc
WHERE chartoffset >= -360
AND chartoffset <= 1440
)
SELECT
p.patientunitstayid,
p.uniquepid,
p.patienthealthsystemstayid,
COALESCE(g.gcs_total, 15) AS gcs_min,
COALESCE(g.gcsmotor, 6) AS gcs_motor,
COALESCE(g.gcsverbal, 5) AS gcs_verbal,
COALESCE(g.gcseyes, 4) AS gcs_eyes
FROM eicu_crd.patient p
LEFT JOIN gcs_first_day g
ON p.patientunitstayid = g.patientunitstayid
AND g.rn = 1
;
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 120 lines · 0 tokens per session scan A 47e4d3af9e97
eicu-gcs is a skill published in the GitHub repository hannesill/m4 (43 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,126 tokens. A static security scan graded it A with 0 findings. It is 100% identical to mimic-apsiii-24h-raw, differing in 991 lines, and is treated as a copy.
Other skills, from other repositories
arbor-agent-orchestrator
Top-level controller for recreating the open-source AutoResearch workflow as a suite of skills. Use when the user asks to run, emulate, extract, validate, or refine Arbor/AutoResearch behavior, especially when a coordinator must load phase skills for setup, ideation, executors, merge evaluation, novelty search…
cqrs-implementation
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems.
projection-patterns
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems.
migration-review
Review database migration files when a change adds or modifies paths under migrations/. Use it before merge to collect forward, rollback, locking, and data-safety evidence.
azure-resource-manager-postgresql-dotnet
Azure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments. Use for creating servers, databases, firewall rules, configurations, backups, and high availability. Triggers: "PostgreSQL", "PostgreSqlFlexibleServer", "PostgreSQL Flexible Server", "Azure Database for…
azure-data-tables-java
Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.